LLM-Based Vulnerability Discovery through the Lens of Code Metrics

Large language models LLMs excel in many tasks of software engineering, yet progress in leveraging them for vulnerability discovery has stalled in recent years. To understand this phenomenon, we investigate LLMs through the lens of classic code metrics. Surprisingly, we find that a classifier...

Security Bulletin: Multiple Vulnerabilities affects IBM License Metric Tool v9.

Summary Multiple vulnerabilities have been remediated in components used by IBM License Metric Tool. Vulnerability Details CVEID:CVE-2025-48924 DESCRIPTION: Uncontrolled Recursion vulnerability in Apache Commons Lang. This issue affects Apache Commons Lang: Starting with commons-lang:commons-lang...

Linux Distros Unpatched Vulnerability : CVE-2025-39678

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - platform/x86/amd/hsmp: Ensure sock-metrictbladdr is non-NULL If metric table address is not allocated, accessing metricsbin will result in a NULL pointer...

CVE-2025-39678

In the Linux kernel, the following vulnerability has been resolved: platform/x86/amd/hsmp: Ensure sock-metrictbladdr is non-NULL If metric table address is not allocated, accessing metricsbin will result in a NULL pointer dereference, so add a check...

DEBIAN-CVE-2025-39678

In the Linux kernel, the following vulnerability has been resolved: platform/x86/amd/hsmp: Ensure sock-metrictbladdr is non-NULL If metric table address is not allocated, accessing metricsbin will result in a NULL pointer dereference, so add a check...

UBUNTU-CVE-2025-39678

In the Linux kernel, the following vulnerability has been resolved: platform/x86/amd/hsmp: Ensure sock-metrictbladdr is non-NULL If metric table address is not allocated, accessing metricsbin will result in a NULL pointer dereference, so add a check...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in Linux kernel, which stems from the platform/x86/amd/hsmp module not checking if sock-metrictbladdr is NULL, which could result in a null...

BIDO: a Unified Approach to Address Obfuscation and Concept Drift Challenges in Image-Based Malware Detection

To identify malicious Android applications, various malware detection techniques have been proposed. Among them, image-based approaches are considered potential alternatives due to their efficiency and scalability. Recent studies have reported that these approaches suffer significant performance...

Machine Learning-Based AES Key Recovery Via Side-Channel Analysis on the ASCAD Dataset

Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak information through side channels, such as electromagnetic EM emissions, potentially compromising said theoretically secure...

Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research

We propose an extension to the OWASP Multi-Agentic System MAS Threat Modeling Guide, translating recent anticipatory research in multi-agent security MASEC into practical guidance for addressing challenges unique to large language model LLM-driven multi-agent architectures. Although OWASP's...

PT-2025-36273

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A flaw exists in the Linux kernel related to the handling of metric table addresses within the hsmp module. Specifically, a missing check for a null pointer in sock-metric tbl addr can...

Malicious code in metric_collector (npm)

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MAL-2025-6632 Malicious code in metric_collector (npm)

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Quantifying the ROI of Cyber Threat Intelligence: a Data-Driven Approach

The valuation of Cyber Threat Intelligence CTI remains a persistent challenge due to the problem of negative evidence: successful threat prevention results in non-events that generate minimal observable financial impact, making CTI expenditures difficult to justify within traditional cost-benefit...

IDFace: Face Template Protection for Efficient and Secure Identification

As face recognition systems FRS become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteristics of the user's face image can be recovered from the template. Although recent advances in cryptographic tools such...

Safeguarding Federated Learning-Based Road Condition Classification

Federated Learning FL has emerged as a promising solution for privacy-preserving autonomous driving, specifically camera-based Road Condition Classification RCC systems, harnessing distributed sensing, computing, and communication resources on board vehicles without sharing sensitive image data...

RADAR: a Radio-Based Analytics for Dynamic Association and Recognition of Pseudonyms in VANETs

This paper presents RADAR, a tracking algorithm for vehicles participating in Cooperative Intelligent Transportation Systems C-ITS that exploits multiple radio signals emitted by a modern vehicle to break privacy-preserving pseudonym schemes deployed in VANETs. This study shows that by combining...

Evaluating the Evaluators: Trust in Adversarial Robustness Tests

Despite significant progress in designing powerful adversarial evasion attacks for robustness verification, the evaluation of these methods often remains inconsistent and unreliable. Many assessments rely on mismatched models, unverified implementations, and uneven computational budgets, which ca...

Diffusion-Based Task-Oriented Semantic Communications with Model Inversion Attack

Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by transmitting semantic information, optimizing communication efficiency and ta...

Security Bulletin: Multiple Vulnerabilities affects IBM License Metric Tool v9.

Summary Multiple vulnerabilities have been remediated in components used by IBM License Metric Tool. Vulnerability Details CVEID:CVE-2025-21587 DESCRIPTION: An unspecified vulnerability in Java SE related to the Server: DDL component could allow a remote attacker to cause high confidentiality and...